As a current analytical instrument for lipidomics profiling with high sensitivity, selectivity, and throughput, mass spectrometry (MS) has been widely used in the field of clinical medicine, nutrition, bromatology, bo...As a current analytical instrument for lipidomics profiling with high sensitivity, selectivity, and throughput, mass spectrometry (MS) has been widely used in the field of clinical medicine, nutrition, bromatology, botany and etc. During the routine use of shotgun- MS and high performance liquid chromatography-MS (HPLC-MS) in lipid analysis, an important problem to be solved is the defective repeatability and stability resulting from signal attenuation or drifts in LC-peak shape and retention time of MS platform. To remove or minimize the influence, extensively accepted and applied QC (quality control) samples must be performed. In this review, we emphasize the importance of the application of QC samples, which could 1) provide the ability to equilibrate the analytical platform at the beginning; 2) act as a quality assurance (QA) procedure during the analytical process; 3) perform signal correction in the data handling with the purpose of reducing analytical variation and improving the precision of quantitative analysis; 4) the data between different laboratories can be compared through the incorporation of particular QC samples-Standard Reference Material (SRM) 1950. In addition, we display 4 types and requirements of QC samples during quality control in lipidomics profiling. Lipidomics profiling based on MS strongly requires commonly accepted guidelines for quality control to perform routine, large-scale researches, so as to integrate data from different scientists for more information.展开更多
Surface adsorption plays a crucial role in various natural and industrial processes,particularly in the field of energy storage.The adsorption of sodium atoms on 2D layered materials can significantly impact their per...Surface adsorption plays a crucial role in various natural and industrial processes,particularly in the field of energy storage.The adsorption of sodium atoms on 2D layered materials can significantly impact their performance as carriers and electrodes in ion batteries.While it is commonly acknowledged that pristine graphene is not favorable for sodium ion adsorption,the suitability of other 2D materials with similar honeycomb symmetry remains unclear.In this study,we employ systematic first-principles calculations to explore interlayer interactions and electron transfer effects on sodium adsorption on 2D van der Waals(vdW)heterostructures(HTSs)surfaces.Our results demonstrate that sodium adsorption is energetically favorable on these substrates.Moreover,we find that the adsorption strength can be effectively tuned by manipulation of the electron accumulation or depletion of the layer directly interacting with the sodium atom.By stacking these layered materials with different electron abundancy to form vd W HTSs,the charge density of the substrate becomes tunable through interlayer charge transfer.In these vdW HTSs,the adsorption behavior of sodium is primarily controlled by the absorption layer and exhibits a linear correlation with its pz-band center.Additionally,we identify linear correlations between the sodium adsorption energies,the electron loss of the sodium atom,the interlayer charge transfer,and the heights of the adsorbed sodium atom.These discoveries underscore the impact of interlayer electron transfer and interactions on sodium ion adsorption on 2D vd W HTSs and providing new insights into material design for alkali atom adsorption.展开更多
The effect of plant (rapeseed and grape seed) polyphenols on lipid metabolism of rat fed with high fat diet was studied. 30 rats were divided into 5 groups including group Z (basal diet), C (high fat diet without plan...The effect of plant (rapeseed and grape seed) polyphenols on lipid metabolism of rat fed with high fat diet was studied. 30 rats were divided into 5 groups including group Z (basal diet), C (high fat diet without plant polyphenol), S (high fat diet with rapeseed polyphenols), R (high fat diet with grape seed polyphenols) and F (combined with rapeseed and grape seed polyphenols). Levels of lipids including TAGs and PLs in rats were investigated by shotgun-electrospray ionization tandem mass spectrometry (shotgun-ESI-MS). Results showed that high fat diet would give rise to the total TAGs and decreased total phosphatidylcholine (PC), phosphatidylethanolamine (PE) and phosphatidylserine (PS) (p < 0.05) in group C, S, R and F, compared with group Z. Results also showed that supplementary with rapeseed polyphenols or grape seed polyphenols reduced total TAGs and increased total PC, PE and PS (p < 0.05) in group S, R and F, compared with group C. Grape seed polyphenols and rapeseed polyphenols had certain regulatory effect on metabolism diseases such as fatty liver.展开更多
Two-dimensional (2D) van der Waals (vdWs) metal-semiconductor heterostructures with atomically sharp interface and matched work functions have recently attracted great attention due to their unique electronic and opto...Two-dimensional (2D) van der Waals (vdWs) metal-semiconductor heterostructures with atomically sharp interface and matched work functions have recently attracted great attention due to their unique electronic and optoelectronic properties. Here we report the vapor phase epitaxial growth of large-scale vertical Sb/WSe2 metal-semiconductor vdWs heterostructures with uniform stacking orientation. Compared with the growth on S1O2/S1 substrate, the thick ness of Sb nan osheet on WSe2 can be reduced effectively to mono layer. We con struct Sb-WSe2-Au asymmetric electrodes photodiode based on the Sb/WSe2 heterostructures. Electrical transport measurements indicate that the photodiode show obvious rectifying effect. Optoelectronic characterizations show prominent photoresponse with a high photoresposivity of 364 mA/W, a fast response time of less than 8 ms, a large open-circuit voltage of 0.27 V and a maximum electrical power output of 0.11 nW. The direct growth of high-quality metal-semiconductor vdWs heterostructures may open up new realms in 2D functional electronics and optoelectronics.展开更多
Salt acclimation, which is induced by previous salt exposure, increases the resistance of plants to future exposure to salt stress. However, little is known about the underlying mechanism, particularly how plants stor...Salt acclimation, which is induced by previous salt exposure, increases the resistance of plants to future exposure to salt stress. However, little is known about the underlying mechanism, particularly how plants store the"memory" of salt exposure. In this study, we established a system to study salt acclimation in Arabidopsis thaliana. Following treatment with a low concentration of salt, seedlings were allowed to recover to allow transitory salt responses to subside while maintaining the sustainable effects of salt acclimation. We performed transcriptome profiling analysis of these seedlings to identify genes related to salt acclimation memory. Notably, the expres-sion of Basic-leucine zipper 17 (bZIP17) and Hmg-CoA reductase degradation 3A (HRD3A), which are important in the unfolded protein response (UPR) and endoplasmic reticulum-associated degradation (ERAD), respectively, increased following treatment with a low concentration of salt and remained at stably high levels after the stimulus was removed, a treatment which improved plant tolerance to future high-salinity challenge. Our findings suggest that the upregulated expression of important genes involved in the UPR and ERAD represents a "memory" of the history of salt exposure and enables more potent responses to future exposure to salt stress, providing new insights into the mechanisms underlying salt acclimation in plants.展开更多
Due to protection of extracellular polymeric substances,the therapeutic efficiency of conventional antimicrobial agents is often impeded by their poor infiltration and accumulation in biofilm.Herein,one type of surfac...Due to protection of extracellular polymeric substances,the therapeutic efficiency of conventional antimicrobial agents is often impeded by their poor infiltration and accumulation in biofilm.Herein,one type of surface charge adaptable nitric oxide(NO)nanogenerator was developed for biofilm permeation,retention and eradication.This nanogenerator(PDG@Au-NO/PBAM)is composed of a core-shell structure:thermo-sensitive NO donor conjugated AuNPs on cationic poly(dopamine-co-glucosamine)nanoparticle(PDG@Au-NO)served as core,and anionic phenylboronic acid-acryloylmorpholine(PBAM)copolymer was employed as a shell.The NO nanogenerator featured long circulation and good biocompatibility.Once the nanogenerator reached acidic biofilm,its surface charge would be switched to positive after shell dissociation and cationic core exposure,which was conducive for the nanogenerator to infiltrate and accumulate in the depth of biofilm.In addition,the nanogenerator could sustainably generate NO to disturb the integrity of biofilm at physiological temperature,then generate hyperthermia and explosive NO release upon NIR irradiation to efficiently eradicate drug-resistant bacteria biofilm.Such rational design offers a promising approach for developing nanosystems against biofilm-associated infections.展开更多
The deep learning methods based on syntactic dependency tree have achieved great success on Aspect-based Sentiment Analysis(ABSA).However,the accuracy of the dependency parser cannot be determined,which may keep aspec...The deep learning methods based on syntactic dependency tree have achieved great success on Aspect-based Sentiment Analysis(ABSA).However,the accuracy of the dependency parser cannot be determined,which may keep aspect words away from its related opinion words in a dependency tree.Moreover,few models incorporate external affective knowledge for ABSA.Based on this,we propose a novel architecture to tackle the above two limitations,while fills up the gap in applying heterogeneous graphs convolution network to ABSA.Specially,we employ affective knowledge as an sentiment node to augment the representation of words.Then,linking sentiment node which have different attributes with word node through a specific edge to form a heterogeneous graph based on dependency tree.Finally,we design a multi-level semantic heterogeneous graph convolution network(Semantic-HGCN)to encode the heterogeneous graph for sentiment prediction.Extensive experiments are conducted on the datasets SemEval 2014 Task 4,SemEval 2015 task 12,SemEval 2016 task 5 and ACL 14 Twitter.The experimental results show that our method achieves the state-of-the-art performance.展开更多
1Introduction Due to the powerful feature extraction ability of convolutional neural network[1],deep model-based semantic segmentation of remote sensing images have received more and more atention.,The large-scale dee...1Introduction Due to the powerful feature extraction ability of convolutional neural network[1],deep model-based semantic segmentation of remote sensing images have received more and more atention.,The large-scale deep networks,bring greater computational complexity[2].However,deploying,deep semantic segmentation models on devices with limited resources and high real-time requirements is challenging.展开更多
The two-dimensional(2D)in-plane(lateral)heterostructures have attracted increasing interest for potential applications in the atomically thin electronics and optoelectronics.While most studies focus on semiconductorse...The two-dimensional(2D)in-plane(lateral)heterostructures have attracted increasing interest for potential applications in the atomically thin electronics and optoelectronics.While most studies focus on semiconductorsemiconductor lateral heterostructures with highly similar lattice structures between the constituent components,the synthesis of metal-semiconductor lateral heterostructures is much less explored and usually more challenging due to more distinct lattice structures or chemical properties.Herein,a vapor phase epitaxy growth method of high-quality metal-semiconductor lateral heterostructures between tetragonal CoSe and hexagonal WSe2 is reported.The 2D CoSe can selectively nucleate at the edge of pre-grown WSe2 nanosheets to form CoSe-WSe2 metal-semiconductor lateral heterostructures.Optical microscopy(OM),scanning electron microscopy(SEM),and atomic force microscopy(AFM)studies reveal distinct contrast across the heterostructure interface.High-resolution transmission electron microscopy(HRTEM)and selected area electron diffraction(SAED)studies further confirm the microstructure modulation across the heterostructure interface.The field-effect transistors(FETs)of CoSe-WSe2 lateral heterostructures show satisfactory Ohmic contacts and considerably better FET performance over those with deposited Cr/Au contacts,suggesting the in-plane metal-semiconductor junctions may function as improved contacts for the atomically thin electronics.展开更多
Heterogeneous information network(HIN)has recently been widely adopted to describe complex graph structure in recommendation systems,proving its effectiveness in modeling complex graph data.Although existing HIN-based...Heterogeneous information network(HIN)has recently been widely adopted to describe complex graph structure in recommendation systems,proving its effectiveness in modeling complex graph data.Although existing HIN-based recommendation studies have achieved great success by performing message propagation between connected nodes on the defined metapaths,they have the following major limitations.Existing works mainly convert heterogeneous graphs into homogeneous graphs via defining metapaths,which are not expressive enough to capture more complicated dependency relationships involved on the metapath.Besides,the heterogeneous information is more likely to be provided by item attributes while social relations between users are not adequately considered.To tackle these limitations,we propose a novel social recommendation model MPISR,which models MetaPath Interaction for Social Recommendation on heterogeneous information network.Specifically,our model first learns the initial node representation through a pretraining module,and then identifies potential social friends and item relations based on their similarity to construct a unified HIN.We then develop the two-way encoder module with similarity encoder and instance encoder to capture the similarity collaborative signals and relational dependency on different metapaths.Extensive experiments on five real datasets demonstrate the effectiveness of our method.展开更多
1Introduction and main contributions Recently,community search over Heterogeneous Information Networks(HINs)has attracted much attention in graph analysis,which aims to search for local communities containing query no...1Introduction and main contributions Recently,community search over Heterogeneous Information Networks(HINs)has attracted much attention in graph analysis,which aims to search for local communities containing query node.Although existing community search studies in HINs have proved effective in converting heterogeneous graphs to homogeneous graphs via pre-defined meta-paths with consistent head and tail node types,two major limitations stilexist.First,they fail to properly utilize the intermediate nodes to assign weights on the edges of the induced homogeneous graph.展开更多
Mulitipe stoichiometric ratio of two-dimensional(2D)transition metal dichalcogenides(TMDCs)attracted considerable interest for their unique chemical and physical properties.Here we developed a chemical vapor depositio...Mulitipe stoichiometric ratio of two-dimensional(2D)transition metal dichalcogenides(TMDCs)attracted considerable interest for their unique chemical and physical properties.Here we developed a chemical vapor deposition(CVD)method to controllably synthesize ultrathin NiS and NiS2 nanoplates.By tuning the growth temperature and the amounts of the sulfur powder,2D nonlayered NiS and NiS2 nanoplates can be selectively prepared with the thickness of 2.0 and 7.0 nm,respectively.X-ray diffraction(XRD)and transmission electron microscopy(TEM)characterization reveal that the 2D NiS and N1S2 nanoplates are high-quality single crystals in the hexagonal and cubic phase,respectively.Electrical transport studies show that electrical conductivities of the 2D NiS and N1S2 nanoplates are as high as 4.6 x 10^5 and 6.3 x 10^5 S·m^-1,respectively.The electrical results demonstrate that the synthesized metallic NiS and NiS2 could serve as good electrodes in 2D electronics.展开更多
The mixed-dimensional integration of two-dimensional (2D) materials with non-2D materials can give rise to prominent advances in performance or function.To date,the mixed-dimensional one-dimensional (1D)/2D heterostru...The mixed-dimensional integration of two-dimensional (2D) materials with non-2D materials can give rise to prominent advances in performance or function.To date,the mixed-dimensional one-dimensional (1D)/2D heterostructures have been fabricated using various physical assembly approaches.However,direct epitaxial growth method which has notable advantages in preparing large-scale products and obtaining perfect interfaces is rarely investigated.Herein,we demonstrate for the first time the direct synthesis of the 1D/2D mixed-dimensional heterostructures by sequential vapor-phase growth of Sb2Se3 nanowires on WS2 monolayers.X-ray diffraction (XRD) pattern and Raman spectrum confirm the composition of the Sb2Se3/NS2 heterostructures.Transmission electron microscope (TEM) measurement demonstrates high quality of the heterostructures.Electrical transport characterization reveals that Sb2Se3 nanowire exhibits p-type characteristic and that WS2 monolayer exhibits n-type behavior,and that the p-n diode from 1D/2D mixed-dimensional Sb2Se3/WS2 heterostructure possesses obvious current rectification behavior.Optoelectronic measurements of the heterostructures show apparent photovoltaic response with an open-circuit voltage of 0.19 V,photoresponsivity of 1.51 A/W (Vds =5 V) and fast response time of less than 8 ms.The van der Waals epitaxial growth mode of Sb2Se3 nanowires on WS2 monolayers is verified by stripping the Sb2Se3 nanowire from the heterostructures using tape.Together,the direct van der Waals epitaxy opens a facile pathway to 1D/2D mixed-dimensional heterostructures for functional electronic and optoelectronic devices.展开更多
Palladium diselenide(PdSe2),a stable layered material with pentagonal structure,has attracted extensive interest due to its excellent electrical and optoelectronic performance.Here,we report a reliable process to synt...Palladium diselenide(PdSe2),a stable layered material with pentagonal structure,has attracted extensive interest due to its excellent electrical and optoelectronic performance.Here,we report a reliable process to synthesize PdSe2 via chemical vapor deposition(CVD)method.Through systematic regulation of temperature in the growth process,we can tune the thickness,size,nucleation density and morphology of PdSe2 nanosheets.Field-effect transistors based on PdSe2 nanosheets exhibit n-type behavior and present a high electron mobility of 105 cm^2·V^−1·s^−1.The electrical property of the devices after 6 months keeping in the air show little change,implying outstanding air-stability of PdSe2.In addition,PdSe2 near-infrared photodetector shows a photoresponsivity of 660 A·W^−1 under 914 nm laser.These performances are better than those of most CVD-grown 2D materials,making ultrathin PdSe2 a highly qualified candidate material for next-generation optoelectronic applications.展开更多
The purpose of this work is to develop a new analysis model for angular-contact,ball-bearing systems on the basis of plate theory instead of commonly known approaches that utilize spring elements.Axial and radial stif...The purpose of this work is to develop a new analysis model for angular-contact,ball-bearing systems on the basis of plate theory instead of commonly known approaches that utilize spring elements.Axial and radial stiffness on an annular plate are developed based on plate,Timoshenko beam,and plasticity theories.The model is developed using theoretical and inductive methods and validated through a numerical simulation with the finite element method.The new analysis model is suitable for static and modal analyses of rotor-bearing systems.Numerical examples are presented to reveal the effectiveness and applicability of the proposed approach.展开更多
Traditional recommendation algorithms predict the latent interest of an active user by collecting rating information from other similar users or items.Recently,more and more recommendation systems attempt to involve s...Traditional recommendation algorithms predict the latent interest of an active user by collecting rating information from other similar users or items.Recently,more and more recommendation systems attempt to involve social relations to improve recommendation performance.However,the existing works either leave out the user reliability or cannot capture the correlation between two users who are similar but not socially connected.Besides,they also take the trust value between users either 0 or 1,thus degenerating the prediction accuracy.In this paper,we propose an efficient social affect model,multi-affect(ed),for recommendation via incorporating both users'reliability and influence propagation.Specifically,the model contains two main components,i.e.,computation of user reliability and influence propagation,designing of user-shared feature space.Firstly,a reliability calculation strategy based on user similarity is developed for measuring the recommendation accuracy between users.Then,the factor of influence propagation relationship among users is taken into consideration.Finally,the multi-affect(ed)model is developed with user-shared feature space to generate the predicted ratings.Experimental results demonstrate that the proposed model achieves better accuracy than other counterparts recommendation techniques.展开更多
Community detection methods based on random walks are widely adopted in various network analysis tasks.It could capture structures and attributed information while alleviating the issues of noises.Though random walks ...Community detection methods based on random walks are widely adopted in various network analysis tasks.It could capture structures and attributed information while alleviating the issues of noises.Though random walks on plain networks have been studied before,in real-world networks,nodes are often not pure vertices,but own different characteristics,described by the rich set of data associated with them.These node attributes contain plentiful information that often complements the network,and bring opportunities to the random-walk-based analysis.However,node attributes make the node interactions more complicated and are heterogeneous with respect to topological structures.Accordingly,attributed community detection based on random walk is challenging as it requires joint modelling of graph structures and node attributes.To bridge this gap,we propose a Community detection with Attributed random walk via Seed replacement(CAS).Our model is able to conquer the limitation of directly utilize the original network topology and ignore the attribute information.In particular,the algorithm consists of four stages to better identify communities.(1)Select initial seed nodes in the network;(2)Capture the better-quality seed replacement path set;(3)Generate the structure-attribute interaction transition matrix and perform the colored random walk;(4)Utilize the parallel conductance to expand the communities.Experiments on synthetic and real-world networks demonstrate the effectiveness of CAS.展开更多
1 Introduction and main contributions The exploration of polarized communities,which consist of two antagonistic subgraphs and include a set of query nodes,is a crucial task in community search on signed networks.Most...1 Introduction and main contributions The exploration of polarized communities,which consist of two antagonistic subgraphs and include a set of query nodes,is a crucial task in community search on signed networks.Most existing methods either predominantly rely on topological structure while disregarding node attributes or tend to prioritize the global identification of all polarized communities.Thus,they fail to consider two crucial insights.Firstly,integrating node attributes with network structure can enhance the search quality for polarized communities in attributed signed networks by leveraging complementary information.Secondly,global criteria-based polarized community detection aims to identify all polarized communities,neglecting personalized analyses centered around individual users.展开更多
文摘As a current analytical instrument for lipidomics profiling with high sensitivity, selectivity, and throughput, mass spectrometry (MS) has been widely used in the field of clinical medicine, nutrition, bromatology, botany and etc. During the routine use of shotgun- MS and high performance liquid chromatography-MS (HPLC-MS) in lipid analysis, an important problem to be solved is the defective repeatability and stability resulting from signal attenuation or drifts in LC-peak shape and retention time of MS platform. To remove or minimize the influence, extensively accepted and applied QC (quality control) samples must be performed. In this review, we emphasize the importance of the application of QC samples, which could 1) provide the ability to equilibrate the analytical platform at the beginning; 2) act as a quality assurance (QA) procedure during the analytical process; 3) perform signal correction in the data handling with the purpose of reducing analytical variation and improving the precision of quantitative analysis; 4) the data between different laboratories can be compared through the incorporation of particular QC samples-Standard Reference Material (SRM) 1950. In addition, we display 4 types and requirements of QC samples during quality control in lipidomics profiling. Lipidomics profiling based on MS strongly requires commonly accepted guidelines for quality control to perform routine, large-scale researches, so as to integrate data from different scientists for more information.
基金the financial support by the National Key Research and Development Program of China(No.2019YFA0708700)the National Natural Science Foundation of China(Nos.62305196,U23B2087 and 62375158)+4 种基金the China Postdoctoral Science Foundation(No.GZC20231498)the Qingdao Postdoctoral Innovation Project(No.QDBSH20240102078)the Postdoctoral Innovation Program of Shandong Province(No.SDCX-ZG-202400318)Science and Technology Research Project of Hubei Provincial Department of Education(No.D20212603)Hubei University of Arts and Science(No.2020kypytd002)。
文摘Surface adsorption plays a crucial role in various natural and industrial processes,particularly in the field of energy storage.The adsorption of sodium atoms on 2D layered materials can significantly impact their performance as carriers and electrodes in ion batteries.While it is commonly acknowledged that pristine graphene is not favorable for sodium ion adsorption,the suitability of other 2D materials with similar honeycomb symmetry remains unclear.In this study,we employ systematic first-principles calculations to explore interlayer interactions and electron transfer effects on sodium adsorption on 2D van der Waals(vdW)heterostructures(HTSs)surfaces.Our results demonstrate that sodium adsorption is energetically favorable on these substrates.Moreover,we find that the adsorption strength can be effectively tuned by manipulation of the electron accumulation or depletion of the layer directly interacting with the sodium atom.By stacking these layered materials with different electron abundancy to form vd W HTSs,the charge density of the substrate becomes tunable through interlayer charge transfer.In these vdW HTSs,the adsorption behavior of sodium is primarily controlled by the absorption layer and exhibits a linear correlation with its pz-band center.Additionally,we identify linear correlations between the sodium adsorption energies,the electron loss of the sodium atom,the interlayer charge transfer,and the heights of the adsorbed sodium atom.These discoveries underscore the impact of interlayer electron transfer and interactions on sodium ion adsorption on 2D vd W HTSs and providing new insights into material design for alkali atom adsorption.
基金This work was supported by the National Key Research and Development Program of China(No.2019YFA0708703)the National Natural Science Foundation of China(No.21773309)the Hefei National Laboratory for Physical Sciences at the Microscale(KF2020004).
文摘The effect of plant (rapeseed and grape seed) polyphenols on lipid metabolism of rat fed with high fat diet was studied. 30 rats were divided into 5 groups including group Z (basal diet), C (high fat diet without plant polyphenol), S (high fat diet with rapeseed polyphenols), R (high fat diet with grape seed polyphenols) and F (combined with rapeseed and grape seed polyphenols). Levels of lipids including TAGs and PLs in rats were investigated by shotgun-electrospray ionization tandem mass spectrometry (shotgun-ESI-MS). Results showed that high fat diet would give rise to the total TAGs and decreased total phosphatidylcholine (PC), phosphatidylethanolamine (PE) and phosphatidylserine (PS) (p < 0.05) in group C, S, R and F, compared with group Z. Results also showed that supplementary with rapeseed polyphenols or grape seed polyphenols reduced total TAGs and increased total PC, PE and PS (p < 0.05) in group S, R and F, compared with group C. Grape seed polyphenols and rapeseed polyphenols had certain regulatory effect on metabolism diseases such as fatty liver.
基金the National Natural Science Foundation of China (Nos. 61804050 and 51872086)the Double First-Class Initiative of Hunan University (No. 531109100004)the Fundamental Research Funds of the Central Universities (Nos. 531107051078 and 531107051055).
文摘Two-dimensional (2D) van der Waals (vdWs) metal-semiconductor heterostructures with atomically sharp interface and matched work functions have recently attracted great attention due to their unique electronic and optoelectronic properties. Here we report the vapor phase epitaxial growth of large-scale vertical Sb/WSe2 metal-semiconductor vdWs heterostructures with uniform stacking orientation. Compared with the growth on S1O2/S1 substrate, the thick ness of Sb nan osheet on WSe2 can be reduced effectively to mono layer. We con struct Sb-WSe2-Au asymmetric electrodes photodiode based on the Sb/WSe2 heterostructures. Electrical transport measurements indicate that the photodiode show obvious rectifying effect. Optoelectronic characterizations show prominent photoresponse with a high photoresposivity of 364 mA/W, a fast response time of less than 8 ms, a large open-circuit voltage of 0.27 V and a maximum electrical power output of 0.11 nW. The direct growth of high-quality metal-semiconductor vdWs heterostructures may open up new realms in 2D functional electronics and optoelectronics.
基金supported by the National Natural Science Foundation of China (31771489 and 31571384)
文摘Salt acclimation, which is induced by previous salt exposure, increases the resistance of plants to future exposure to salt stress. However, little is known about the underlying mechanism, particularly how plants store the"memory" of salt exposure. In this study, we established a system to study salt acclimation in Arabidopsis thaliana. Following treatment with a low concentration of salt, seedlings were allowed to recover to allow transitory salt responses to subside while maintaining the sustainable effects of salt acclimation. We performed transcriptome profiling analysis of these seedlings to identify genes related to salt acclimation memory. Notably, the expres-sion of Basic-leucine zipper 17 (bZIP17) and Hmg-CoA reductase degradation 3A (HRD3A), which are important in the unfolded protein response (UPR) and endoplasmic reticulum-associated degradation (ERAD), respectively, increased following treatment with a low concentration of salt and remained at stably high levels after the stimulus was removed, a treatment which improved plant tolerance to future high-salinity challenge. Our findings suggest that the upregulated expression of important genes involved in the UPR and ERAD represents a "memory" of the history of salt exposure and enables more potent responses to future exposure to salt stress, providing new insights into the mechanisms underlying salt acclimation in plants.
基金support from the National Natural Science Foundation of China(52073230 and 52003224)the Shaanxi Provincial Science Fund for Distinguished Young Scholars(2023-JC-JQ-32)the Natural Science Basic Research Program of Shaanxi Province(2020GXLH-Z-013 and 2019JQ-157).
文摘Due to protection of extracellular polymeric substances,the therapeutic efficiency of conventional antimicrobial agents is often impeded by their poor infiltration and accumulation in biofilm.Herein,one type of surface charge adaptable nitric oxide(NO)nanogenerator was developed for biofilm permeation,retention and eradication.This nanogenerator(PDG@Au-NO/PBAM)is composed of a core-shell structure:thermo-sensitive NO donor conjugated AuNPs on cationic poly(dopamine-co-glucosamine)nanoparticle(PDG@Au-NO)served as core,and anionic phenylboronic acid-acryloylmorpholine(PBAM)copolymer was employed as a shell.The NO nanogenerator featured long circulation and good biocompatibility.Once the nanogenerator reached acidic biofilm,its surface charge would be switched to positive after shell dissociation and cationic core exposure,which was conducive for the nanogenerator to infiltrate and accumulate in the depth of biofilm.In addition,the nanogenerator could sustainably generate NO to disturb the integrity of biofilm at physiological temperature,then generate hyperthermia and explosive NO release upon NIR irradiation to efficiently eradicate drug-resistant bacteria biofilm.Such rational design offers a promising approach for developing nanosystems against biofilm-associated infections.
基金supported by the National Natural Science Foundation of China(Grant Nos.62276073,61966004)Guangxi Natural Science Foundation(No.2019GXNSFDA245018)+2 种基金Innovation Project of Guangxi Graduate Education(No.YCSW2022155)Guangxi“Bagui Scholar”Teams for Innovation and Research ProjectGuangxi Collaborative Innovation Center of Multi-source Information Integration and Intelligent Processing.
文摘The deep learning methods based on syntactic dependency tree have achieved great success on Aspect-based Sentiment Analysis(ABSA).However,the accuracy of the dependency parser cannot be determined,which may keep aspect words away from its related opinion words in a dependency tree.Moreover,few models incorporate external affective knowledge for ABSA.Based on this,we propose a novel architecture to tackle the above two limitations,while fills up the gap in applying heterogeneous graphs convolution network to ABSA.Specially,we employ affective knowledge as an sentiment node to augment the representation of words.Then,linking sentiment node which have different attributes with word node through a specific edge to form a heterogeneous graph based on dependency tree.Finally,we design a multi-level semantic heterogeneous graph convolution network(Semantic-HGCN)to encode the heterogeneous graph for sentiment prediction.Extensive experiments are conducted on the datasets SemEval 2014 Task 4,SemEval 2015 task 12,SemEval 2016 task 5 and ACL 14 Twitter.The experimental results show that our method achieves the state-of-the-art performance.
基金supported by the Special Funds for Innovation of Graduate Students Double Top University Plan in China University of Mining and Technology(No.2018ZZCX14)。
文摘1Introduction Due to the powerful feature extraction ability of convolutional neural network[1],deep model-based semantic segmentation of remote sensing images have received more and more atention.,The large-scale deep networks,bring greater computational complexity[2].However,deploying,deep semantic segmentation models on devices with limited resources and high real-time requirements is challenging.
基金the National Natural Science Foundation of China(No.51991343,No.51991340,No.61804050,No.51872086)the Fundamental Research Funds of the Central Universities(No.531107051078,No.531107051055)+1 种基金the Double First-Class Initiative of Hunan University(No.531109100004)the Hunan Key Laboratory of Two-Dimensional Materials(Grant No.2018TP1010).
文摘The two-dimensional(2D)in-plane(lateral)heterostructures have attracted increasing interest for potential applications in the atomically thin electronics and optoelectronics.While most studies focus on semiconductorsemiconductor lateral heterostructures with highly similar lattice structures between the constituent components,the synthesis of metal-semiconductor lateral heterostructures is much less explored and usually more challenging due to more distinct lattice structures or chemical properties.Herein,a vapor phase epitaxy growth method of high-quality metal-semiconductor lateral heterostructures between tetragonal CoSe and hexagonal WSe2 is reported.The 2D CoSe can selectively nucleate at the edge of pre-grown WSe2 nanosheets to form CoSe-WSe2 metal-semiconductor lateral heterostructures.Optical microscopy(OM),scanning electron microscopy(SEM),and atomic force microscopy(AFM)studies reveal distinct contrast across the heterostructure interface.High-resolution transmission electron microscopy(HRTEM)and selected area electron diffraction(SAED)studies further confirm the microstructure modulation across the heterostructure interface.The field-effect transistors(FETs)of CoSe-WSe2 lateral heterostructures show satisfactory Ohmic contacts and considerably better FET performance over those with deposited Cr/Au contacts,suggesting the in-plane metal-semiconductor junctions may function as improved contacts for the atomically thin electronics.
基金supported by the National Natural Science Foundation of China(Grant Nos.61762078,62276073,61966009 and U22A2099)the Industrial Support Project of Gansu Colleges(No.2022CYZC11)+3 种基金the Natural Science Foundation of Gansu Province(21JR7RA114)the Northwest Normal University Young Teachers Research Capacity Promotion Plan(NWNU-LKQN2019-2)the Industrial Support Project of Gansu Colleges(No.2022CYZC11)the Northwest Normal University Post-graduate Research Funding Project(2021KYZZ02107).
文摘Heterogeneous information network(HIN)has recently been widely adopted to describe complex graph structure in recommendation systems,proving its effectiveness in modeling complex graph data.Although existing HIN-based recommendation studies have achieved great success by performing message propagation between connected nodes on the defined metapaths,they have the following major limitations.Existing works mainly convert heterogeneous graphs into homogeneous graphs via defining metapaths,which are not expressive enough to capture more complicated dependency relationships involved on the metapath.Besides,the heterogeneous information is more likely to be provided by item attributes while social relations between users are not adequately considered.To tackle these limitations,we propose a novel social recommendation model MPISR,which models MetaPath Interaction for Social Recommendation on heterogeneous information network.Specifically,our model first learns the initial node representation through a pretraining module,and then identifies potential social friends and item relations based on their similarity to construct a unified HIN.We then develop the two-way encoder module with similarity encoder and instance encoder to capture the similarity collaborative signals and relational dependency on different metapaths.Extensive experiments on five real datasets demonstrate the effectiveness of our method.
基金supported by the National Natural Science Foundation of China(Grant Nos.61762078,61363058,61966004)Natural Science Foundation of Gansu(21JR7RA114)Northwest Normal University Young Teachers Research Capacity Promotion Plan(NWNULKQN2019-2).
文摘1Introduction and main contributions Recently,community search over Heterogeneous Information Networks(HINs)has attracted much attention in graph analysis,which aims to search for local communities containing query node.Although existing community search studies in HINs have proved effective in converting heterogeneous graphs to homogeneous graphs via pre-defined meta-paths with consistent head and tail node types,two major limitations stilexist.First,they fail to properly utilize the intermediate nodes to assign weights on the edges of the induced homogeneous graph.
基金We acknowledge the support from the National Natural Science Foundation of China(No.51872086)the Hunan Key Laboratory of Two-Dimensional Materials(No.2018TP1010)+1 种基金the Strategic Priority Research Program of Chinese Academy of Science(No.XDB30000000)the National Key Research and Development Program of Ministry of Science and Technology(No.2018YFA0703704).
文摘Mulitipe stoichiometric ratio of two-dimensional(2D)transition metal dichalcogenides(TMDCs)attracted considerable interest for their unique chemical and physical properties.Here we developed a chemical vapor deposition(CVD)method to controllably synthesize ultrathin NiS and NiS2 nanoplates.By tuning the growth temperature and the amounts of the sulfur powder,2D nonlayered NiS and NiS2 nanoplates can be selectively prepared with the thickness of 2.0 and 7.0 nm,respectively.X-ray diffraction(XRD)and transmission electron microscopy(TEM)characterization reveal that the 2D NiS and N1S2 nanoplates are high-quality single crystals in the hexagonal and cubic phase,respectively.Electrical transport studies show that electrical conductivities of the 2D NiS and N1S2 nanoplates are as high as 4.6 x 10^5 and 6.3 x 10^5 S·m^-1,respectively.The electrical results demonstrate that the synthesized metallic NiS and NiS2 could serve as good electrodes in 2D electronics.
基金the Fundamental Research Funds of the Central Universities (No.531107051078)the Double First-Class University Initiative of Hunan University (No.531109100004). We also acknowledge the support from the National Natural Science Foundation of China (No.751214296)+1 种基金Hunan Key Laboratory of Two-Dimensional Materials (No.801200005)Strategic Priority Research Program of Chinese Academy of Science (No.XDB30000000).
文摘The mixed-dimensional integration of two-dimensional (2D) materials with non-2D materials can give rise to prominent advances in performance or function.To date,the mixed-dimensional one-dimensional (1D)/2D heterostructures have been fabricated using various physical assembly approaches.However,direct epitaxial growth method which has notable advantages in preparing large-scale products and obtaining perfect interfaces is rarely investigated.Herein,we demonstrate for the first time the direct synthesis of the 1D/2D mixed-dimensional heterostructures by sequential vapor-phase growth of Sb2Se3 nanowires on WS2 monolayers.X-ray diffraction (XRD) pattern and Raman spectrum confirm the composition of the Sb2Se3/NS2 heterostructures.Transmission electron microscope (TEM) measurement demonstrates high quality of the heterostructures.Electrical transport characterization reveals that Sb2Se3 nanowire exhibits p-type characteristic and that WS2 monolayer exhibits n-type behavior,and that the p-n diode from 1D/2D mixed-dimensional Sb2Se3/WS2 heterostructure possesses obvious current rectification behavior.Optoelectronic measurements of the heterostructures show apparent photovoltaic response with an open-circuit voltage of 0.19 V,photoresponsivity of 1.51 A/W (Vds =5 V) and fast response time of less than 8 ms.The van der Waals epitaxial growth mode of Sb2Se3 nanowires on WS2 monolayers is verified by stripping the Sb2Se3 nanowire from the heterostructures using tape.Together,the direct van der Waals epitaxy opens a facile pathway to 1D/2D mixed-dimensional heterostructures for functional electronic and optoelectronic devices.
基金We acknowledge the support from National Natural Science Foundation of China(Nos.61804050,51991340,51991343,and 51872086)the Fundamental Research Funds of the Central Universities(Nos.531107051078 and 531107051055)+2 种基金the Double First-Class Initiative of Hunan University(No.531109100004)the Hunan Key Laboratory of Two-Dimensional Materials(No.2018TP1010)the Strategic Priority Research Program of Chinese Academy of Science,Grant(No.XDB30000000).
文摘Palladium diselenide(PdSe2),a stable layered material with pentagonal structure,has attracted extensive interest due to its excellent electrical and optoelectronic performance.Here,we report a reliable process to synthesize PdSe2 via chemical vapor deposition(CVD)method.Through systematic regulation of temperature in the growth process,we can tune the thickness,size,nucleation density and morphology of PdSe2 nanosheets.Field-effect transistors based on PdSe2 nanosheets exhibit n-type behavior and present a high electron mobility of 105 cm^2·V^−1·s^−1.The electrical property of the devices after 6 months keeping in the air show little change,implying outstanding air-stability of PdSe2.In addition,PdSe2 near-infrared photodetector shows a photoresponsivity of 660 A·W^−1 under 914 nm laser.These performances are better than those of most CVD-grown 2D materials,making ultrathin PdSe2 a highly qualified candidate material for next-generation optoelectronic applications.
基金The authors would like to thank Professor Hongguang Li of Shanghai Jiao Tong University for his valuable comments on this paper.The authors are grateful for the support of the National Natural Science Foundation of China(Grant Nos.U1637206 and 51705311)the SAST Project(Grant No.SAST2017-079)the State Key Laboratory of Mechanical System and Vibration of Shanghai Jiao Tong University(Grant No.MSVZD201709).
文摘The purpose of this work is to develop a new analysis model for angular-contact,ball-bearing systems on the basis of plate theory instead of commonly known approaches that utilize spring elements.Axial and radial stiffness on an annular plate are developed based on plate,Timoshenko beam,and plasticity theories.The model is developed using theoretical and inductive methods and validated through a numerical simulation with the finite element method.The new analysis model is suitable for static and modal analyses of rotor-bearing systems.Numerical examples are presented to reveal the effectiveness and applicability of the proposed approach.
基金the National Natural Science Foundation of China(Grant Nos.61762078,61363058,61966009,61762079,U1711263,U1811264)Guangxi Key Laboratory of Trusted Software(kx202003)Major Project of Young Teachers'Scientific Research Ability Promotion Plan(NWNU-LKQN2019-2).
文摘Traditional recommendation algorithms predict the latent interest of an active user by collecting rating information from other similar users or items.Recently,more and more recommendation systems attempt to involve social relations to improve recommendation performance.However,the existing works either leave out the user reliability or cannot capture the correlation between two users who are similar but not socially connected.Besides,they also take the trust value between users either 0 or 1,thus degenerating the prediction accuracy.In this paper,we propose an efficient social affect model,multi-affect(ed),for recommendation via incorporating both users'reliability and influence propagation.Specifically,the model contains two main components,i.e.,computation of user reliability and influence propagation,designing of user-shared feature space.Firstly,a reliability calculation strategy based on user similarity is developed for measuring the recommendation accuracy between users.Then,the factor of influence propagation relationship among users is taken into consideration.Finally,the multi-affect(ed)model is developed with user-shared feature space to generate the predicted ratings.Experimental results demonstrate that the proposed model achieves better accuracy than other counterparts recommendation techniques.
基金This work is supported by the National Natural Science Foundation of China(Grant Nos.61762078,61363058,61966004,61966009,U1711263,U1811264)Natural Science Foundation of Gansu Province(21JR7RA114)+1 种基金Northwest Normal University Young Teachers Research Capacity Promotion Plan(NWNU-LKQN2019-2)Research Fund of Guangxi Key Laboratory of Trusted Software(kx202003).
文摘Community detection methods based on random walks are widely adopted in various network analysis tasks.It could capture structures and attributed information while alleviating the issues of noises.Though random walks on plain networks have been studied before,in real-world networks,nodes are often not pure vertices,but own different characteristics,described by the rich set of data associated with them.These node attributes contain plentiful information that often complements the network,and bring opportunities to the random-walk-based analysis.However,node attributes make the node interactions more complicated and are heterogeneous with respect to topological structures.Accordingly,attributed community detection based on random walk is challenging as it requires joint modelling of graph structures and node attributes.To bridge this gap,we propose a Community detection with Attributed random walk via Seed replacement(CAS).Our model is able to conquer the limitation of directly utilize the original network topology and ignore the attribute information.In particular,the algorithm consists of four stages to better identify communities.(1)Select initial seed nodes in the network;(2)Capture the better-quality seed replacement path set;(3)Generate the structure-attribute interaction transition matrix and perform the colored random walk;(4)Utilize the parallel conductance to expand the communities.Experiments on synthetic and real-world networks demonstrate the effectiveness of CAS.
基金supported by the Industrial Support Project of Gansu Colleges,China(No.2022CYZC11)the National Natural Science Foundation of China(Grant Nos.61762078,62276073 and U22A2099)the Guangxi Key Laboratory of Trusted Software(kx202302).
文摘1 Introduction and main contributions The exploration of polarized communities,which consist of two antagonistic subgraphs and include a set of query nodes,is a crucial task in community search on signed networks.Most existing methods either predominantly rely on topological structure while disregarding node attributes or tend to prioritize the global identification of all polarized communities.Thus,they fail to consider two crucial insights.Firstly,integrating node attributes with network structure can enhance the search quality for polarized communities in attributed signed networks by leveraging complementary information.Secondly,global criteria-based polarized community detection aims to identify all polarized communities,neglecting personalized analyses centered around individual users.
